Read more
Cognitive science is a field that began with the realization that researchers in varied disciplines-psychology, artificial intelligence, linguistics, philosophy, formal semantics, neuroscience, and others-had taken on a common set of problems in representation and meaning, in reasoning and language. Nevertheless, cognitive science as a whole enjoys no common methodology or theoretical framework, and is in danger of becoming even more fragmented with time. There are two reasons for this. First, cognitive science is built on existing methodologies that have different historical origins. AB a result, the psychologist's truth is different from the linguist's truth. The artificial intelligence researcher's truth is different from the philosopher's truth. The neuroscientist's truth is different from the formal semanticist's truth. All too often there is little or no recognition of the relevance of work in other disciplines to one's own concerns. Second, cognitive scientists tend to develop theories around isolated problems. For instance, there are theories about how humans categorize concepts, about how humans analyze linguistic expressions syntactically, about how the English tense system works semantically, about how humans reason about space or reason about time, about how goal-directed problem solving occurs, about how the brain computes, and so on.
List of contents
One: Nuts and Bolts.- 1. Mental Representation.- 2. Partitioned Representations.- 3. Language: Process and Structure.- 4. Three Levels of Language Processing.- Two: Studies in Language.- 5. Pedro's Donkey and Oedipus's Mother.- 6. Satisfying Presuppositions in Discourse.- 7. Space Frogs and Henry Ford.- 8. Temporal Aspect.- 9. General Conclusions.- Appendices: Formal Models.- 10. A Logic of Partitioned Representations.- 11. Generalized Natural Deduction.- 12. A Computational Model.- References.- Author Index.
